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* feat: adopt directory-based docs versioning with Edge channel Switch docs.crewai.com from navigation-only versioning (every version selector entry rendered the same docs/<lang>/* source files) to Mintlify's directory-based versioning so each version selector entry renders its own snapshot. Add an "Edge" channel under docs/edge/<lang>/* that always reflects main HEAD for unreleased work, eliminating pre-release leakage onto frozen release labels. External links to canonical /<lang>/* URLs are preserved via wildcard redirects that always land on the current default version. Layout: - docs/edge/<lang>/* rolling source (you edit here) - docs/edge/enterprise-api.*.yaml - docs/v<X.Y.Z>/<lang>/* frozen, immutable snapshots - docs/v<X.Y.Z>/enterprise-api.*.yaml - docs/images/ shared, append-only - docs/docs.json nav + redirects URLs follow the Mintlify-idiomatic shape: /edge/<lang>/<page> for Edge, /v<X.Y.Z>/<lang>/<page> for every frozen snapshot. The wildcard redirects /<lang>/:slug* -> /<default>/<lang>/:slug* keep stale links working, and every freeze rewrites them (plus all per-section/per-page redirects) so destinations always resolve to the current default without depending on a second redirect hop. Release flow integration (devtools release): - New module crewai_devtools.docs_versioning.freeze() materialises docs/v<X.Y.Z>/ from docs/edge/, rewrites openapi: refs inside the snapshot, inserts the version into every language block in docs.json, and refreshes all redirect destinations. - _update_docs_and_create_pr() in cli.py now calls that freeze during Phase 2 of devtools release. Edge changelogs are updated first (so the snapshot freeze picks them up), then the snapshot is staged alongside docs.json, branched as docs/freeze-v<X.Y.Z>, and the PR is titled [docs-freeze] docs: snapshot and changelog for v<X.Y.Z> — the title prefix the new CI guard reads. - The PR still gates tag, GitHub release, PyPI publish, and the enterprise release as before; no new PRs are added. - Pre-releases (1.X.YaN, 1.X.YbN, ...) skip the snapshot — they ride Edge — and the docs PR title omits the [docs-freeze] prefix. - docs_check (AI-generated docs scaffolding) writes to docs/edge/<lang>/* so newly-generated unreleased docs land in Edge and never accidentally touch a frozen snapshot. Migration scripts (one-shot): - scripts/docs/freeze_historical_versions.py reconstructs all 16 historical snapshots (v1.10.0 .. v1.14.7) from git tags via git archive | tar, rewriting openapi: MDX refs so each snapshot reads its own enterprise-api YAML rather than the live one. - scripts/docs/prefix_version_paths.py one-shot-migrates docs.json: rewrites every page path in 16 versioned blocks to point under docs/v<X.Y.Z>/, inserts a new Edge entry per language, tags v1.14.7 as Latest (default), prunes pages whose target file doesn't exist in the snapshot (e.g. docs/ar/ didn't exist before v1.12.0), and writes the wildcard + per-section redirects. - scripts/docs/freeze_current_edge.py is now a thin CLI wrapper around docs_versioning.freeze for manual one-off freezes (e.g. retroactively snapshotting a forgotten release). CI guards (.github/workflows/docs-snapshots.yml): - Frozen snapshots under docs/v[0-9]*/ are immutable; only PRs whose title contains [docs-freeze] (i.e. release-cut PRs generated by devtools release or the manual wrapper) may modify them. - Images under docs/images/ are append-only since snapshots share a single image directory. Deleting or renaming an image breaks every historical snapshot that still references it. Restored docs/images/crewai-otel-export.png from PR #3673; it was deleted in PR #4908 but v1.10.0 / v1.10.1 snapshots still reference it. Restoring instead of editing the snapshots preserves historical rendering fidelity and validates the new append-only rule retroactively. Tests: - lib/devtools/tests/test_docs_versioning.py covers the freeze: file copy, openapi rewrite, version insertion, default demotion, redirect upserts, per-section redirect rewriting, idempotency, and invalid inputs. Verified locally with mintlify broken-links: 0 broken links across the full site (Edge + 16 frozen versions, 4 locales). AGENTS.md (repo root) is the contributor guide for the new model; RELEASING.md is the release-cut runbook; README's Contribution section links to both. Co-authored-by: Cursor <cursoragent@cursor.com> * style: resolve linter issues --------- Co-authored-by: Cursor <cursoragent@cursor.com>
82 lines
2.7 KiB
Plaintext
82 lines
2.7 KiB
Plaintext
---
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title: Agent مدير مخصص
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description: تعلم كيفية تعيين Agent مخصص كمدير في CrewAI، مما يوفر مزيدًا من التحكم في إدارة المهام والتنسيق.
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icon: user-shield
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mode: "wide"
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---
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# تعيين Agent محدد كمدير في CrewAI
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يتيح CrewAI للمستخدمين تعيين Agent محدد كمدير للـ Crew، مما يوفر مزيدًا من التحكم في إدارة المهام وتنسيقها.
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## استخدام سمة `manager_agent`
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تتيح لك سمة `manager_agent` تعريف Agent مخصص لإدارة الـ Crew. سيشرف هذا الـ Agent على العملية بأكملها لضمان إتمام المهام بكفاءة وبأعلى المعايير.
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```python Code
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import os
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from crewai import Agent, Task, Crew, Process
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researcher = Agent(
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role="Researcher",
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goal="Conduct thorough research and analysis on AI and AI agents",
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backstory="You're an expert researcher...",
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allow_delegation=False,
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)
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writer = Agent(
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role="Senior Writer",
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goal="Create compelling content about AI and AI agents",
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backstory="You're a senior writer...",
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allow_delegation=False,
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)
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task = Task(
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description="Generate a list of 5 interesting ideas for an article...",
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expected_output="5 bullet points, each with a paragraph and accompanying notes.",
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)
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manager = Agent(
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role="Project Manager",
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goal="Efficiently manage the crew and ensure high-quality task completion",
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backstory="You're an experienced project manager...",
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allow_delegation=True,
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)
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crew = Crew(
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agents=[researcher, writer],
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tasks=[task],
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manager_agent=manager,
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process=Process.hierarchical,
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)
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result = crew.kickoff()
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```
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## فوائد Agent المدير المخصص
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- **تحكم محسّن**: تخصيص نهج الإدارة ليناسب الاحتياجات المحددة لمشروعك.
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- **تنسيق محسّن**: ضمان تنسيق المهام وإدارتها بكفاءة من قبل Agent ذي خبرة.
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- **إدارة قابلة للتخصيص**: تعريف أدوار ومسؤوليات إدارية تتماشى مع أهداف مشروعك.
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## تعيين LLM للمدير
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إذا كنت تستخدم العملية الهرمية ولا تريد تعيين Agent مدير مخصص، يمكنك تحديد نموذج اللغة للمدير:
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```python Code
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from crewai import LLM
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manager_llm = LLM(model="gpt-4o")
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crew = Crew(
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agents=[researcher, writer],
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tasks=[task],
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process=Process.hierarchical,
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manager_llm=manager_llm
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)
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```
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<Note>
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يجب تعيين إما `manager_agent` أو `manager_llm` عند استخدام العملية الهرمية.
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</Note>
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